Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation workflows by assessing, ranking, and validating model outputs to drive training data quality and model performance improvement in a fully remote, full-time role.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI systems by reviewing model-generated responses, ranking alternatives, and writing clear rationales aligned with annotation guidelines. Your work supports RLHF, large language model evaluation, and training data quality initiatives that directly contribute to model performance improvement. This role requires native-level fluency in German and strong professional English, as you will work across bilingual prompts, outputs, and evaluation rubrics.

What You Will Do

You will conduct large language model evaluation by comparing outputs for correctness, helpfulness, safety, tone, and reasoning quality; perform RLHF-style ranking and preference judgments; execute QA evaluation to ensure annotation guidelines compliance; validate edge cases and escalate policy or ambiguity issues; and document concise, defensible rationales that can be used to improve training data quality and support model performance improvement.

Responsibilities

Evaluate and score model outputs against rubrics for accuracy, completeness, safety, and reasoning. Rank multiple responses using RLHF-style preference judgments and justification. Perform QA checks, spot inconsistencies, and enforce annotation guidelines compliance. Validate bilingual (German/English) prompts and responses for linguistic quality and intent alignment. Write clear rationales that explain evaluation decisions and support model performance improvement. Identify failure patterns, propose guideline clarifications, and flag content safety risks. Collaborate asynchronously with operations and QA to meet throughput and quality targets.

Basic Qualifications

Based in Germany and authorized to work from Germany. Fluent in German and English (reading/writing at a high professional level). Strong analytical skills with the ability to evaluate nuanced reasoning and factuality. Excellent attention to detail and consistency in following rubrics. Comfortable working with structured guidelines, feedback loops, and quality audits. Reliable internet connection and ability to work independently in a remote environment.

Preferred Qualifications

Prior experience in data labeling, prompt evaluation, QA evaluation, or annotation. Familiarity with LLM evaluation, RLHF, or model training pipelines. Experience applying content safety labeling or policy-based decisions. Self-driven, able to manage time effectively, and proactive in clarifying ambiguous cases. Background in linguistics, journalism, research, customer support, or technical writing is a plus.

Compensation

USD $35–$40 per hour (based on experience and assessment performance). Full-time, remote.

How to Apply

Apply through Rexzone with your resume/CV and a brief note highlighting bilingual (German/English) writing experience, analytical evaluation work, and any exposure to AI/LLM workflows. If selected, you will complete an evaluation aligned to large language model evaluation and annotation guidelines.

Frequently Asked Questions

Q: Is this role remote?
Yes. This is a fully remote, full-time role, and you must be based in Germany.
Q: What tasks will I do?
You will evaluate and rank model-generated outputs, perform QA evaluation for annotation guidelines compliance, validate bilingual content, and write reasoning-based rationales to improve training data quality and support model performance improvement.
Q: Do I need AI experience?
AI experience is helpful but not required. You will be trained on evaluation rubrics, RLHF-style ranking, and large language model evaluation processes.
Q: What languages are required?
You must be fluent in German and English, with strong reading and writing skills in both languages.
Q: What domains are covered?
You may evaluate general knowledge, customer-style questions, writing quality, reasoning tasks, and content safety labeling scenarios, depending on project needs.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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